Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2006 Theses (MU)
    • 2006 MU theses - Freely available online
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2006 Theses (MU)
    • 2006 MU theses - Freely available online
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    A quantitative performace measurement framework for health care systems

    Lee, Fock Choy
    View/Open
    [PDF] public.pdf (21.93Kb)
    [PDF] short.pdf (11.62Kb)
    [PDF] research.pdf (653.0Kb)
    Date
    2006
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    Performance measurement has been widely used in the manufacturing industry for years. This research has focused on the adaptation of a performance measurement system used in manufacturing for application in health care systems. This research proposed a quantitative performance measurement system to apply in the health care industry. The main objective and critical factors to the system were first established to be included in the framework. The main objective and the critical factors were then decomposed in a top-down fashion to identify clearly the requirements of the system and the means to achieving those requirements. After breaking down the main factors to sub-components, these sub-components were then connected based on their qualitative relationships. The components are integrated using incremental calculus and measured by marginal analysis, the effects to the system by a given incremental change of each variable.The proposed framework was applied to Green Meadows Clinic to measure the effects of changing ten percent of the physician and nursing manpower, the clinic's expenses, patients' turnout to the operating margin of the clinic. The major accomplishments of this work included the incorporation of a system engineering tool to health care system performance measurement and the ability to show the overall effects to the system as a whole by making marginal changes to the inputs, thus helping health care managers to make better decisions.
    URI
    http://hdl.handle.net/10355/4583
    Degree
    M.S.
    Thesis Department
    Industrial and manufacturing systems engineering (MU)
    Collections
    • 2006 MU theses - Freely available online
    • Industrial and Manufacturing Systems Engineering electronic theses and dissertations (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems